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Klepnutím lze upravit styl = předlohy nadpisů.
Klepnutím lze upravit styly předlohy textu. =
Druhá úroveň
Třetí úroveň
Čtvrtá úroveň
Pátá úroveň
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------=_NextPart_01CA4471.F2138840 Content-Location: file:///C:/D96BB1C1/statistika_soubory/master56.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml; charset="utf-8" ------=_NextPart_01CA4471.F2138840 Content-Location: file:///C:/D96BB1C1/statistika_soubory/pres.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml; charset="utf-8" ------=_NextPart_01CA4471.F2138840 Content-Location: file:///C:/D96BB1C1/statistika_soubory/slide0170.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Prezentace aplikace PowerPoint
Martin Beránek
UKBD FN HK
Přednáška pro bakaláře FaF
STATISTIKA V KLINICKÉ= = LABORATOŘI=
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Vědecké disciplíny pro získávání a <= /span>= hodnocení dat v klinické laborato= 45;i
nMetrologie – věda o správném měření
nMatematika – práce s čísly a geometrickými útvary
nStatistika – aplikace matematiky ke zpracování       
n        = ;            &n= bsp;        informace nematematického charakteru
n Chemometrie – věda o správném hodnocení 
n        = ;            &n= bsp;            = ;     výsledků naměřených v laboratoři<= /span>
nInformatika - <= span style=3D'font-family:Arial;mso-ascii-font-family:Arial;mso-hansi-font-fami= ly: Arial;font-size:75%;text-shadow:auto'>studuje strukturu, přenos a zpracování    
n        = ;            &n= bsp;            informace
        = ;         
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<= b>STATISTICKÉ PŘÍSTUPY
   Statistika deskriptivní 
Popisuje hodnocené číselné úda= je (záznam údajů, tř&= iacute;dění, zobrazení, výpočty statistických charak-teris= tik).
<= /div>
   Statistika induktivní
<= /div>
Zobecňuje výsl= edky ze sledovaných výběrových souborů odhadem populačních charakteri= stik a testováním hypotéz.
 
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   Statistick&yac= ute; soubor
<= /i>
Soubor statistických jednotek s přesně vymezenými znaky,&= #13;
= prvky (charakter, prostor, čas) platíc&iacu= te; pro základní soubor = (populaci).
   Výb= 3;rový soubor
Pravidlo velkých čísel
Reprezen= tativní vzorek základního souboru (n>30) =
Ná= ;hodný výběr
<= span style=3D'font-size:117%;font-style:normal;text-shadow:auto;color:white; mso-color-index:1'>Hodnocení populace vychází z odhadu na základ&#= 283; výběrových charakteri= stik (průměr a SD).
  Průměrn&= aacute; glykémie v ČR v roce 2006: 4,4 mmol / l<= /div>
Koncentrace glukos= y v krvi (n=3D100) v HK: 4,7 <= i>±<= i> 1,0 mmol /<= i> l
3D"BD04912_" 3D"BD04912_"
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Content-Type: text/html; charset="us-ascii" Prezentace aplikace PowerPoint
Veličiny (znaků souboru) dle rozložení na ose
<= span style=3D'font-size:133%;color:white;mso-color-index:1;font-weight:bold; font-style:normal;text-shadow:auto'>1.Veli&= #269;iny kvalitativní (nominální)
         příklady: pohlaví, typ infekce, drog= y, poraněn&ia= cute;
2. Veličiny pořadové (ordinální)
        = ;       řezn&aac= ute; poranění         lehká -   střední  &nb= sp; -   těžká
        = ;            &n= bsp;      dysplasie        mírná -   střední     -    silná        = ;            &n= bsp;  
        = ;            &n= bsp;             DM        = ;   v dg. -   kompen<= span style=3D'mso-spacerun:yes'>   -  dekompen
3. Kvantitativní= ; (kardinální) veličiny
        = ;   3a. Nespojité (diskrétní)   počet dětí v rodině
        = ;   3b. Spojité (celý obor hodnot dle metody):  S_CHOL
<= span style=3D'text-shadow:auto;mso-special-format:lastCR;display:none'>
     &nbs= p;            &= nbsp;         &nbs= p;  
    &= nbsp;           &nbs= p;           
P= očet dětí v české rodině
 0   1   2   3  4  5  6  7   8
četnost
   četnost
3.0    3.5    4.0    4.5     5.0   S_Chol
=
R= ozložení populace dle konc. chol
I.
II.
III.
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Použit&iac= ute; biostatistiky ve zdravotnictví
   Vytváří fyziologické meze a diagnostické normy
   Sl= eduje chorobu ve vymezených podmínkách
   Hodnotí efekt léčby a prognosu v rámci diagnosy
   &#= 13;
   Zaznamenává údaje pro ZP
   De= finuje rizikové faktory
   Hodnot&iacu= te; analytické metody
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=
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Přesnost Kodak vs Hitachi
Stroj:
  Kodak
  Hitachi<= /span>
  Kodak
 Hitachi
= n:
74
74
5 x 6
5 x 6
= X:
5,5
5,6
5,2
5,2
= SD:
0,19
0,17
0,19
0,20
= CV (%):
3,4
3,1
3,6
3,8
      Opakovatelnost        = ;  Reprodukovatelnost
sérový cholesterol v mmol/l
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= Referenční materiál
=
=
  Nativní poolované sé= ;rum zamrazené na –70 °C
•<= /span>= 3;
  Lyofilizované nativn&iacut= e; poolované sérum s kryoprotekcí =
•<= /span>= 3;
  Lyofilizované nativn&iacut= e; poolované sérum
•<= /span>= 3;
  Lyofilizované bovinn&iacut= e; sérum 
        = ;           Stabilita, komutabilita, návaznost!
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5,10
6,37
3,30
 6,64
Ref.hodn.
mmol/= l
-1,1%
-1,9%
-2,5%
-2,9%
Hitachi
-7,8%
-8,6%
-7,5%
-8,9%
Kodak
SEKK 2
SEKK 1
Lyphochek  
    Level 2
Lyphochek  
    Level 1
= Měření chol v lyofilizovaných vzorcích
    Systematická odchylka vyjádřená jako bias (%)
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3DGauss
68,3%        = ;            &n= bsp;            = ;            &n= bsp;     _= 6; <= /span>±= 1σ
95,0%        = ;            &n= bsp;            = ;            &n= bsp;     = 56;<= b> ±= ;<= b> 2σ<= /b>        = ;   
99,7%        = ;            &n= bsp;            = ;            &n= bsp;      _= 6; ±= 3σ
<= span lang=3DEN-GB style=3D'font-style:normal;color:yellow;mso-color-index:3;mso= -special-format: lastCR;display:none'>
Gaussovo
normální =
rozdělení
μ =3D 3,7<= /span>
        = ;            &n= bsp;            = ;            &n= bsp;            = ;          Cholesterol (mmol/l)
   Četnost spojitý= ch hodnot v základním souboru
+σ
-σ =3D 0,75
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
n =3D 100
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Fyziologické rozmezí pro CHOL
=  na přístroji KODAK odpovídá
=   rozmezí pro HITACHI 917:&#= 13;
= 3,7 ± 1,5 mmol/l
= 2,2 – 5,2 mmol/<= /span>= l
=         = ;    
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Korelační analýza (<= /b>= přímá a nepřímá)
V biologických vědách hledáme vzájemné závislosti mezi jevy, metodami – těsnost (míru síly vztahu) dvou či v&iacut= e;ce náhodných nezávislý= ch proměnných………………= .        = ;   Pearsonův koeficient r= (výsledky dvou metod)        = ;      xi a yi tvoří párové výsledky = ;
        = ;   Σ<= /b> = (xi – X) * (yi – Y)
<= span style=3D'mso-spacerun:yes'>  r =3D ---------------------------= -----
<= span style=3D'mso-spacerun:yes'>        / Σ(xi – X)2 <= /span>*= Σ(yi – Y)2 /= 0,5
        = ;     Při r > ± 0,5 by mohlo jít např. o lineární vztah, 
        = ;            &n= bsp;          následuje analýza regresní=
0,1-0,3 korelace slabá
0,4-0,6 korelace střední
0,7-0,8 korelace silná
0,9-1,0 korelace velmi
        = ;    silná&= #13;
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Lineární regresní analýza
Hodnotí závislost nezávislé proměnné (x) a závislé proměnné (y) výpočtem parametrů rovnice.        = ;    
y =3D Bx + A
Kritérium přiléhavosti (shoda s modelem) je = analýza reziduáln&iac= ute;ho rozptylu bodů ke středním hodnotám a = jejich rozpětí.
Regresní model umožňuje predikci dalších hodnot (kalibrační křivka).
Odhad změn y na základě hodnot x nemusí odrážet vzájemně závislý vztah dvou jevů (biologická   variabilita, chyby měření, funkčnost modelu).
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charset="us-ascii" Prezentace aplikace PowerPoint
Zákonitost znaků základního souboru lze odhadnout, popsat s určitou jistotou (spolehlivostí, pravděpodobností)
Statistická hypotéza= testuje na základě výbě= rových souborů tvrzení o rozdělení základního souboru, jeho parametrech a vzájemné vztahy mezi veličinami
Nulová hypotéza Ho= – nulový rozdíl mezi porovnávanými charakteristi= kami nebo proti referenční hodnotě, vzorky pocház&iacut= e; ze stejné populace.  <= /span>Testov&eacut= e; kritérium : kritická hodnota t α
<= /span>
Hladina významn= osti alfa (p < 0,05  0,01  0,001)
Zamítnutím Ho testujeme hypoté= ;zu alternativní H1.
<= /div>
STAT= ISTICKÁ HYPOTÉZA
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4,0        5,0        = ;    6,0     &= nbsp;     7,0        = ;   8,0         9,0        = ;            &n= bsp;
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HITACHI
9,0
7,0
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    = Jsou změny naměřených hodnot
    statisticky významné
    při >6,5 mmol ?
        = ;  
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charset="us-ascii" Prezentace aplikace PowerPoint
Studentův t test – test na významnost rozdílů = mezi výběrovým průměrem a průměrem základního souboru nebo dvěma výběrov&yacut= e;mi průměry
Testování hypotéz
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=
    = 7,9
7,1 &plusm= n;= 0,3
Použ= ;ití Studentova testu  Ho:  μ =3D (X ± tα * SEM)
        = ;            &n= bsp;          = ;  (μ – X) / SEM =3D tα  
    
ID-MS= 3;
 (ref.)
     n=3D7
 KODAK
n =3D 7&= #13;
X=3D7,1&= #13;
s =3D 0,= 3
μ =3D 7,9
α =3D 0,05%
        = ;     s   <= /div>
SEM=3D -----
        = ;    n
SEM=3D 0,1
<= /div>
      |7,9-7,1| <= /div>
t =3D -------- =3D 8 <= /span>
         0,1
T0,95=3D 2,13
8 > 2,13 Ho
 
P < 0,05
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Přesnost Kodak vs Hitachi
3,8
3,6
3,1
3,4
= CV (%):
0,20
0,19
0,17
0,19
= SD:
5,2
5,2
5,6
5,5
= X:
5 x 6
5 x 6
74
74
= n:
 Hitachi
  Kodak
  Hitachi<= /span>
  Kodak
Stroj:
      Opakovatelnost        = ;  Reprodukovatelnost
= Je Hitachi přesnější? - porovnej rozptyly = ;
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file:///C:/D96BB1C1/statistika_soubory/slide0079.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Prezentace aplikace PowerPoint
   <= b>F-test – test na významnost rozdílů = mezi rozptyly porovnávaných souborů (ANOVA)
Testování hypotéz
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St.v.2 73
F= α=3D 1,25
1,16 < 1,25
Ho =3D
Normální rozložení hodnot !
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<= b>Testy na vyloučení odchýlených hodnot       
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        = ;   Testy na vyloučení vychýlených hodnot=
Grubsův test pro normální rozložení
T … testová charakteristika
Y =3D 0,2     s =3D 0,3 <= /span>
         |<= /span> yn – Y |
T =3D -------------- =3D 2,7
        = ;       s
T= 0,95 =3D 2,52 (pro n=3D8)
T > T0,95        = ;    Ho = 3;
=
=
 Y
 Y
Hodnotu 1,0  lze vyloučit jako odchýlenou a  výběrové charakteristiky
jsou nyní:   Y=3D 0,1     s=3D 0,05 <= /div>
1,0&= #13;
0,1  0,1  0,1  0,1  0,1  0,2  0,2  1,0
Ho: tato hodnota není odchýlená
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Neparametrické testy= – při ne-normalitě <= span style=3D'font-size:150%;font-style:normal;text-shadow:auto;color:yellow; mso-color-index:3'>hodnot se nevyhodnocují hodnoty = výsledků, ale pořadí hodnot = 211; pořadové <= span style=3D'font-size:150%;font-style:normal;text-shadow:auto;color:#FFCCFF'>= testy.
Testování hypotéz
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        = ;            &n= bsp;        Neparametrické testy<= span style=3D'font-size:108%;font-style:normal;text-shadow:auto;color:yellow; mso-color-index:3'>
Při ne-normalitě hodnot se nevyhodnocují hodnoty výsledků, <= span style=3D'font-size:108%;font-style:normal;text-shadow:auto;color:yellow; mso-color-index:3'>ale pořadí hodnot – pořadov&eacu= te; testy sloučené do jediného = souboru.
Významnost rozdílů mezi průměry:        = ;      Mediánový test =   
        = ;            &n= bsp;            = ;            &n= bsp;            = ;            Wilcoxonův test
Významnost rozdílů mezi rozptyly:        = ;      Rosenbaumův test
Testy na vyloučení vychýlených hodnot:      Dixonův test
1 2 3 4 = 5 6 = 7,5 9 10 11 12 13 14 15 16
     n1(n1+n2+1)
T´= =3D ------   =3D   68
        = ;  2
        = ;            T1=3D 53,5
        = ;        u=3DT´-T=3D 14,5  =  
   u0,95=3D 19
   14,5 < 19
    Ho =3D
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= Minimalizace falešné positivity
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100% specificita, <= span style=3D'font-family:"Times New Roman";mso-bidi-font-family:"Times New Rom= an"; font-style:normal;text-shadow:auto;color:white;mso-color-index:1'>↓ = sensitivity
HEALTH
DISEASE
Falešn= 3; negativní výsledky
Falešn= 3; positivní =3D 0
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text/html; charset="us-ascii" Prezentace aplikace PowerPoint
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nPositivní predikční hodnota:
    pravděpodobnost přítomnosti nemoci u positivně testovaných osob (nad cut-off hodnotou)
        = ;   
        = ;      (správně positivní) / (všichni positivní)
nNegativní predikční hodnota:
    pravděpodobnost zdraví u negativně testovaných osob 
       
        = ;       (správně negativní) / (všichni negativní)
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GoToSld( sldList.mList[gCurSld - 1].mSldHref ); } } var custShowList=3Dnew Array(); function ImgBtn( oId,bId,w,action ) { var t=3Dthis t.Perform =3D _IBP t.SetActive =3D _IBSetA t.SetInactive=3D _IBSetI t.SetPressed =3D _IBSetP t.SetDisabled=3D _IBSetD t.Enabled =3D _IBSetE t.ChangeIcon =3D null t.UserAction =3D action t.ChgState =3D _IBUI t.mObjId =3D oId t.mBorderId=3D bId t.mWidth =3D w t.mIsOn =3D t.mCurState =3D 0 } function _IBSetA() { if( this.mIsOn ) { obj=3Dthis.ChgState( gHiliteClr,gShadowClr,2 ) obj.style.posTop=3D0 } } function _IBSetI() { if( this.mIsOn ) { obj=3Dthis.ChgState( gFaceClr,gFaceClr,1 ) obj.style.posTop=3D0 } } function _IBSetP() { if( this.mIsOn ) { obj=3Dthis.ChgState( gShadowClr,gHiliteClr,2 ) obj.style.posLeft+=3D1; obj.style.posTop+=3D1 } } function _IBSetD() { obj=3Dthis.ChgState( gFaceClr,gFaceClr,0 ) obj.style.posTop=3D0 } function _IBSetE( state ) { var t=3Dthis GetObj( t.mBorderId ).style.visibility=3D"visible" if( state !=3D t.mIsOn ) { t.mIsOn=3Dstate if( state ) t.SetInactive() else t.SetDisabled() } } function _IBP() { var t=3Dthis if( t.mIsOn ) { if( t.UserAction !=3D null ) t.UserAction() if( t.ChangeIcon ) { obj=3DGetObj(t.mObjId) if( t.ChangeIcon() ) obj.style.posLeft=3Dobj.style.posLeft+(t.mCurState-4)*t.mWidth else obj.style.posLeft=3Dobj.style.posLeft+(t.mCurState-0)*t.mWidth } t.SetActive() } } function _IBUI( clr1,clr2,nextState ) { var t=3Dthis SetBorder( GetObj( t.mBorderId ),clr1,clr2 ) obj=3DGetObj( t.mObjId ) obj.style.posLeft=3Dobj.style.posLeft+(t.mCurState-nextState)*t.mWidth-obj= .style.posTop t.mCurState=3DnextState return obj } function TxtBtn( oId,oeId,action,chkState ) { var t=3Dthis t.Perform =3D _TBP t.SetActive =3D _TBSetA t.SetInactive=3D _TBSetI t.SetPressed =3D _TBSetP t.SetDisabled=3D _TBSetD t.SetEnabled =3D _TBSetE t.GetState =3D chkState t.UserAction =3D action t.ChgState =3D _TBUI t.mObjId =3D oId t.m_elementsId=3D oeId t.mIsOn =3D 1 } function _TBSetA() { var t=3Dthis if( t.mIsOn && !t.GetState() ) t.ChgState( gHiliteClr,gShadowClr,0,0 ) } function _TBSetI() { var t=3Dthis if( t.mIsOn && !t.GetState() ) t.ChgState( gFaceClr,gFaceClr,0,0 ) } function _TBSetP() { if( this.mIsOn ) this.ChgState( gShadowClr,gHiliteClr,1,1 ) } function _TBSetD() { this.ChgState( gFaceClr,gFaceClr,0,0 ) this.mIsOn =3D 0 } function _TBSetE() { var t=3Dthis if( !t.GetState() ) t.ChgState( gFaceClr,gFaceClr,0,0 ) else t.ChgState( gShadowClr,gHiliteClr,1,1 ) t.mIsOn =3D 1 } function _TBP() { var t=3Dthis if( t.mIsOn ) { if( t.UserAction !=3D null ) t.UserAction() if( !t.GetState ) return if( t.GetState() ) t.SetPressed() else t.SetActive() } } function _TBUI( clr1,clr2,lOffset,tOffset ) { SetBorder( GetObj( this.mObjId ),clr1,clr2 ) Offset( GetObj( this.m_elementsId ),lOffset,tOffset ) } function Offset( obj, top, left ){ obj.style.top=3Dtop; obj.style.left=3Dle= ft } function SetBorder( obj, upperLeft, lowerRight ) { s=3Dobj.style; s.borderStyle =3D "solid" s.borderWidth =3D 1 s.borderLeftColor =3D s.borderTopColor =3D upperLeft s.borderBottomColor=3D s.borderRightColor =3D lowerRight } function GetBtnObj(){ return gBtnArr[window.event.srcElement.id] } function BtnOnOver(){ b=3DGetBtnObj(); if( b !=3D null ) b.SetActive() } function BtnOnDown(){ b=3DGetBtnObj(); if( b !=3D null ) b.SetPressed() } function BtnOnOut(){ b=3DGetBtnObj(); if( b !=3D null ) b.SetInactive() } function BtnOnUp() { b=3DGetBtnObj() if( b !=3D null ) b.Perform() else Upd() } function GetNtsState(){ return parent.gNtsOpen } function GetOtlState(){ return parent.gOtlOpen } function GetOtlTxtState(){ return parent.gOtlTxtExp } function NtsBtnSetFlag( fVal ) { s=3Ddocument.all.item( this.m_flagId ).style s.display=3D"none" if( fVal ) s.display=3D"" else s.display=3D"none" } function _BSetA_Border(){ b =3D gBtnArr[this.mObjId]; if( b !=3D null ) b.S= etActive() } function _BSetI_Border(){ b =3D gBtnArr[this.mObjId]; if( b !=3D null ) b.S= etInactive() } function _BSetP_Border(){ b =3D gBtnArr[this.mObjId]; if( b !=3D null ) b.S= etPressed() } function _BSetA_BorderImg() { b =3D gBtnArr[this.mBorderId] if( b !=3D null && this.mIsOn && !b.GetState() ) { obj=3Dthis.ChgState( gHiliteClr,gShadowClr,2 ) obj.style.posTop=3D0 } } function _BSetI_BorderImg() { b =3D gBtnArr[this.mBorderId] if( b !=3D null && this.mIsOn && !b.GetState() ) { obj=3Dthis.ChgState( gFaceClr,gFaceClr,1 ) obj.style.posTop=3D0 } } var gHiliteClr=3D"THREEDHIGHLIGHT",gShadowClr=3D"THREEDSHADOW",gFaceClr=3D"= THREEDFACE" var gBtnArr =3D new Array() gBtnArr["nb_otl"] =3D new TxtBtn( "nb_otl","nb_otlElem",parent.ToggleOtlPan= e,GetOtlState ) gBtnArr["nb_otlElem"] =3D new TxtBtn( "nb_otl","nb_otlElem",parent.ToggleOt= lPane,GetOtlState ) gBtnArr["nb_nts"] =3D new ImgBtn( "nb_nts","nb_ntsBorder",10,parent.ToggleN= tsPane ) gBtnArr["nb_nts"].SetActive =3D _BSetA_BorderImg; gBtnArr["nb_nts"].SetInactive =3D _BSetI_BorderImg; gBtnArr["nb_ntsBorder"] =3D new TxtBtn( "nb_ntsBorder","nb_ntsElem",parent.= ToggleNtsPane,GetNtsState ) gBtnArr["nb_ntsElem"] =3D new TxtBtn( "nb_ntsBorder","nb_ntsElem",parent.To= ggleNtsPane,GetNtsState ) gBtnArr["nb_prevBorder"] =3D gBtnArr["nb_prev"]=3D new ImgBtn( "nb_prev","n= b_prevBorder",30,parent.GoToPrevSld ) gBtnArr["nb_nextBorder"] =3D gBtnArr["nb_next"]=3D new ImgBtn( "nb_next","n= b_nextBorder",30,parent.GoToNextSld ) gBtnArr["nb_sldshw"]=3D new ImgBtn( "nb_sldshw","nb_sldshwBorder",18,parent= .FullScreen ) gBtnArr["nb_sldshwBorder"] =3D new TxtBtn( "nb_sldshw","nb_sldshwBorder",pa= rent.FullScreen,null ) gBtnArr["nb_sldshwBorder"].SetActive =3D _BSetA_Border; gBtnArr["nb_sldshwBorder"].SetInactive =3D _BSetI_Border; gBtnArr["nb_sldshwText"] =3D new TxtBtn( "nb_sldshw","nb_sldshwText",parent= .FullScreen,null ) gBtnArr["nb_sldshwText"].SetActive =3D _BSetA_Border; gBtnArr["nb_sldshwText"].SetInactive =3D _BSetI_Border; gBtnArr["nb_voice"] =3D gBtnArr["nb_voiceBorder"] =3D new ImgBtn( "nb_voice= ","nb_voiceBorder",18,parent.ToggleVNarration ) gBtnArr["nb_otlTxtBorder"] =3D gBtnArr["nb_otlTxt"]=3D new ImgBtn( "nb_otlT= xt","nb_otlTxtBorder",23,parent.ToggleOtlText ) gBtnArr["nb_ntsBorder"].m_flagId=3D "nb_nts" gBtnArr["nb_ntsBorder"].SetFlag =3D NtsBtnSetFlag gBtnArr["nb_otlTxt"].ChangeIcon=3D GetOtlTxtState var sNext=3D"Další",sPrev=3D"Předchozí",sEnd=3D"Kon= ec prezentace",sFont=3D"Arial",sArrow=3D"Šipka",sFreeform=3D"Voln&yacu= te; tvar",sRect=3D"Obdélník",sOval=3D"Ovál" function ShowMenu() { BuildMenu(); var doc=3DPPTSld.document.body,x=3DPPTSld.event.clientX+doc.scrollLeft,y= =3DPPTSld.event.clientY+doc.scrollTop m =3D PPTSld.document.all.item("ctxtmenu") m.style.pixelLeft=3Dx if( (x+m.scrollWidth > doc.clientWidth)&&(x-m.scrollWidth > 0) ) m.style.pixelLeft=3Dx-m.scrollWidth m.style.pixelTop=3Dy if( (y+m.scrollHeight > doc.clientHeight)&&(y-m.scrollHeight > 0) ) m.style.pixelTop=3Dy-m.scrollHeight m.style.display=3D"" } function _CM() { if( !parent.IsFullScrMode() ) return; if(!PPTSld.event.ctrlKey) { ShowMenu() return false } else HideMenu() } function BuildMenu() { if( PPTSld.document.all.item("ctxtmenu") ) return var mObj=3DCreateItem( PPTSld.document.body ) mObj.id=3D"ctxtmenu" mObj.style.visibility=3D"hidden" var s=3DmObj.style s.position=3D"absolute" s.cursor=3D"default" s.width=3D"120px" SetCMBorder(mObj,"menu","black") var iObj=3DCreateItem( mObj ) SetCMBorder( iObj, "threedhighlight","threedshadow" ) iObj.style.padding=3D2 CreateMenuItem( iObj,sNext,M_GoNextSld,M_True ) CreateMenuItem( iObj,sPrev,M_GoPrevSld,M_HasPrevSld ) CreateSeparator( iObj ) CreateMenuItem( iObj,sEnd,M_End,M_True ) mObj.style.visibility=3D"visible" } function Cancel() { window.event.cancelBubble=3Dtrue; window.event.returnVa= lue=3Dfalse } function Highlight() { ChangeClr("activecaption","threedhighlight") } function Deselect() { ChangeClr("threedface","menutext") } function Perform() { e=3DPPTSld.event.srcElement if( e.type=3D=3D"menuitem" && e.IsActive() ) e.Action() else PPTSld.event.cancelBubble=3Dtrue } function ChangeClr( bg,clr ) { e=3DPPTSld.event.srcElement if( e.type=3D=3D"menuitem" && e.IsActive() ) { e.style.backgroundColor=3Dbg e.style.color=3Dclr } } function M_HasPrevSld() { return( parent.HasPrevSld() ) } function M_GoNextSld() { if( gIsEndShow ) M_End(); 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charset="us-ascii" Prezentace aplikace PowerPoint ------=_NextPart_01CA4471.F2138840 Content-Location: file:///C:/D96BB1C1/statistika_soubory/outline.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii"
 Po= známky
Prezentac= e
Osnova
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